Yoshiharu Hayashi

Learn More
MOTIVATION To find a correlation between the activities and structures of molecules is one of the most important subjects for molecular evaluation study. Traditional quantitative structure-activity relationship (QSAR) methodologies represent those attempts using physicochemical descriptors. Creating a new molecular description factor based on the results of(More)
T he genus Pediococcus includes Gram-positive, catalase-negative, and oxidase-negative lactic acid bacteria (1). Most of the known pediococcal strains were isolated from various plants and fruits, fermenting vegetables, beer, and silage. Genome sequences have been published for Pediococcus acidilactici (2), P. claussenii (3), and P. pentosaceus (4). P.(More)
Combining single-cell methods and next-generation sequencing should provide a powerful means to understand single-cell biology and obviate the effects of sample heterogeneity. Here we report a single-cell identification method and seamless cancer gene profiling using semiconductor-based massively parallel sequencing. A549 cells (adenocarcinomic human(More)
We recently introduced a new molecular description factor, interaction profile Factor (IPF) that is useful for evaluating molecular interactions. IPF is a data set of interaction energies calculated by the Comparative Molecular Interaction Profile Analysis system (CoMIPA). CoMIPA utilizes AutoDock 3.0 docking program, and the system has shown to be a(More)
In this paper, we introduce a system named Comparative Molecular Interaction Profile Analysis system (CoMIPA) that utilizes virtual docking study for comprehensive analysis of molecular interactions. Research of RNA aptamer is very useful to creation of functional molecules, because RNA aptamer is excellent in binding selectivity and the stability of(More)
  • 1